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from functools import partial
import numpy as np
from AnyQt.QtCore import Qt
from orangewidget.settings import Setting
from Orange.widgets import gui
from Orange.widgets.settings import ContextSetting, DomainContextHandler
from Orange.widgets.widget import OWWidget, Msg, Output, Input
from Orange.widgets.utils.itemmodels import DomainModel
from Orange.widgets.utils.widgetpreview import WidgetPreview
from Orange.data import \
Table, Domain, DiscreteVariable, StringVariable, ContinuousVariable
from Orange.data.util import SharedComputeValue, get_unique_names
def get_substrings(values, delimiter):
return sorted({ss.strip() for s in values for ss in s.split(delimiter)}
- {""})
class SplitColumnBase:
def __init__(self, data, attr, delimiter):
self.attr = attr
self.delimiter = delimiter
column = set(data.get_column(self.attr))
self.new_values = tuple(get_substrings(column, self.delimiter))
def __eq__(self, other):
return self.attr == other.attr \
and self.delimiter == other.delimiter \
and self.new_values == other.new_values
def __hash__(self):
return hash((self.attr, self.delimiter, self.new_values))
class SplitColumnOneHot(SplitColumnBase):
InheritEq = True
def __call__(self, data):
column = data.get_column(self.attr)
values = [{ss.strip() for ss in s.split(self.delimiter)}
for s in column]
return {v: np.array([i for i, xs in enumerate(values) if v in xs],
dtype=int)
for v in self.new_values}
class SplitColumnCounts(SplitColumnBase):
InheritEq = True
def __call__(self, data):
column = data.get_column(self.attr)
values = [[ss.strip() for ss in s.split(self.delimiter)]
for s in column]
return {v: np.array([xs.count(v) for xs in values], dtype=float)
for v in self.new_values}
class StringEncodingBase(SharedComputeValue):
def __init__(self, fn, new_feature):
super().__init__(fn)
self.new_feature = new_feature
def __eq__(self, other):
return super().__eq__(other) and self.new_feature == other.new_feature
def __hash__(self):
return super().__hash__() ^ hash(self.new_feature)
def compute(self, data, shared_data):
raise NotImplementedError # silence pylint
class OneHotStrings(StringEncodingBase):
InheritEq = True
def compute(self, data, shared_data):
indices = shared_data[self.new_feature]
col = np.zeros(len(data))
col[indices] = 1
return col
class CountStrings(StringEncodingBase):
InheritEq = True
def compute(self, data, shared_data):
return shared_data[self.new_feature]
class DiscreteEncoding:
def __init__(self, variable, delimiter, onehot, value):
self.variable = variable
self.delimiter = delimiter
self.onehot = onehot
self.value = value
def __call__(self, data):
column = data.get_column(self.variable).astype(float)
col = np.zeros(len(column))
col[np.isnan(column)] = np.nan
for val_idx, value in enumerate(self.variable.values):
parts = value.split(self.delimiter)
if self.onehot:
col[column == val_idx] = int(self.value in parts)
else:
col[column == val_idx] = parts.count(self.value)
return col
def __eq__(self, other):
return self.variable == other.variable \
and self.value == other.value \
and self.delimiter == other.delimiter \
and self.onehot == other.onehot
def __hash__(self):
return hash((self.variable, self.value, self.delimiter, self.onehot))
class OWSplit(OWWidget):
name = "Split"
description = "Split text or categorical variables into indicator variables"
category = "Transform"
icon = "icons/Split.svg"
keywords = ["text to columns", "word encoding", "questionnaire", "survey",
"term", "word presence", "word counts", "categorical encoding",
"indicator variables"]
priority = 700
class Inputs:
data = Input("Data", Table)
class Outputs:
data = Output("Data", Table)
class Warning(OWWidget.Warning):
no_disc = Msg("Data contains only numeric variables.")
want_main_area = False
resizing_enabled = False
Categorical, Numerical, Counts = range(3)
OutputLabels = ("Categorical (No, Yes)", "Numerical (0, 1)", "Counts")
settingsHandler = DomainContextHandler()
attribute = ContextSetting(None)
delimiter = ContextSetting(";")
output_type = ContextSetting(Categorical)
auto_apply = Setting(True)
def __init__(self):
super().__init__()
self.data = None
variable_select_box = gui.vBox(self.controlArea, "Variable")
gui.comboBox(variable_select_box, self, "attribute",
orientation=Qt.Horizontal, searchable=True,
callback=self.apply.deferred,
model=DomainModel(valid_types=(StringVariable,
DiscreteVariable)))
le = gui.lineEdit(
variable_select_box, self, "delimiter", "Delimiter: ",
orientation=Qt.Horizontal, callback=self.apply.deferred,
controlWidth=20)
le.box.layout().addStretch(1)
le.setAlignment(Qt.AlignCenter)
gui.radioButtonsInBox(
self.controlArea, self, "output_type", self.OutputLabels,
box="Output Values",
callback=self.apply.deferred)
gui.auto_apply(self.buttonsArea, self, commit=self.apply)
@Inputs.data
def set_data(self, data):
self.closeContext()
self.data = data
model = self.controls.attribute.model()
model.set_domain(data.domain if data is not None else None)
self.Warning.no_disc(shown=data is not None and not model)
if not model:
self.attribute = None
self.data = None
return
self.attribute = model[0]
self.openContext(data)
self.apply.now()
@gui.deferred
def apply(self):
if self.attribute is None:
self.Outputs.data.send(None)
return
var = self.data.domain[self.attribute]
values, computer = self._get_compute_value(var)
new_columns = self._get_new_columns(values, computer)
new_domain = Domain(
self.data.domain.attributes + new_columns,
self.data.domain.class_vars, self.data.domain.metas
)
extended_data = self.data.transform(new_domain)
self.Outputs.data.send(extended_data)
def _get_compute_value(self, var):
if var.is_discrete:
values = get_substrings(var.values, self.delimiter)
computer = partial(
DiscreteEncoding,
var, self.delimiter, self.output_type != self.Counts)
else:
if self.output_type == self.Counts:
sc = SplitColumnCounts(self.data, var, self.delimiter)
computer = partial(CountStrings, sc)
else:
sc = SplitColumnOneHot(self.data, var, self.delimiter)
computer = partial(OneHotStrings, sc)
values = sc.new_values
return values, computer
def _get_new_columns(self, values, computer):
names = get_unique_names(self.data.domain, values, equal_numbers=False)
if self.output_type == self.Categorical:
return tuple(
DiscreteVariable(
name, ("No", "Yes"), compute_value=computer(value))
for value, name in zip(values, names))
else:
return tuple(
ContinuousVariable(
name, compute_value=computer(value))
for value, name in zip(values, names))
if __name__ == "__main__": # pragma: no cover
WidgetPreview(OWSplit).run(Table.from_file("tests/orange-in-education.tab"))
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